A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilizationResearch in context
Summary: Background: Machine learning (ML) predictions are becoming increasingly integrated into medical practice. One commonly used method, ℓ1-penalised logistic regression (LASSO), can estimate patient risk for disease outcomes but is limited by only providing point estimates. Instead, Bayesian l...
Main Authors: | Claudio Fanconi, Anne de Hond, Dylan Peterson, Angelo Capodici, Tina Hernandez-Boussard |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-06-01
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Series: | EBioMedicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396423001974 |
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